class_docstr: Represents a graph suitable for further processing with the graphcut package.
  
  The graph contains nodes, edges (directed) between the nodes (n-edges), edges
  between two terminals (called source and sink) and the nodes (t-edges), and a
  weight for each edge. 
  
  Notes
  -----
  The node-ids used by the graph are assumed to start with 1 and be
  continuous. This is not actually checked, except when calling the
  inconsistent() method, so be careful.
docstr: Get the nweights.
  
  Returns
  -------
  nweights : dict
      All n-weights (inter-node weights) as {edge-tuple: (weight, weight_reverersed)...} dict.
docstr_tok: ["Get","the","nweights",".","Returns","--","--","--","-","nweights",":","dict","All","n-weights","(","inter-node","weights",")","as","{","edge-tuple",":","(","weight",",","weight_reverersed",")","...","}","dict","."]
code: def get_nweights(self):
      r"""
      Get the nweights.
  
      Returns
      -------
      nweights : dict
          All n-weights (inter-node weights) as {edge-tuple: (weight, weight_reverersed)...} dict.
      """
      return self.__nweights
  
imports: from .maxflow import GraphDouble, GraphFloat
label_desc: Use image node_id 12 for calling the Graph obj's underlying member method code with example usage: obj.get_nweights() and returns: self